Yuling Tian

612 citations
28 papers · 490 · h-index 13

Impact in

    • Atherosclerosis and Cardiovascular Diseases
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

Yuling Tian

26 papers receiving 482 citations

Peers

Yuling Tian
Comparison fields: 5 of 81
  • Immunology 135
  • Cancer Research 72
  • Pharmacology 70
  • Geriatrics and Gerontology 15
  • Endocrinology, Diabetes and Metabolism 59
Replace Chathyan Pararasa with:
Chathyan Pararasa United Kingdom
Jingzhi Jiang China
Mohammad S. Akhter United States
Qiangsun Zheng China
Ben He China
Yi‐Hsuan Lin Taiwan
Stacey Fynch Australia
Yanfang Song China
Yuling Tian relative to Chathyan Pararasa United Kingdom Chathyan Pararasa's profile →
Citations per field
00.5×2.9×
Chathyan Pararasa · 1×
Citations per year

Countries citing papers authored by Yuling Tian

Since Specialization
Citations

This map shows the geographic impact of Yuling Tian's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yuling Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuling Tian more than expected).

Fields of papers citing papers by Yuling Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuling Tian. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yuling Tian. The network helps show where Yuling Tian may publish in the future.

Co-authors

The 25 scholars most cited alongside Yuling Tian, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yuling Tian Line = papers co-authored together Yuling Tian links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201071
2 200960
3 201753
4 201546
5 201527
6 201526
7 201423
8 201321
9 201721
10 200915
11 201314
12 201713
13 201713
14 201712
15 201912
16 201110
17 201210
18 200910
19 20109
20 20217

About Yuling Tian

Yuling Tian is a scholar working on Immunology, Molecular Biology, Cardiology and Cardiovascular Medicine, Oncology and Epidemiology, having authored 28 papers that have together received 490 indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (8 papers), Cytokine Signaling Pathways and Interactions (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Cholesterol and Lipid Metabolism (3 papers), Cardiac Ischemia and Reperfusion (3 papers), Mesenchymal stem cell research (2 papers), Flame retardant materials and properties (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Immunology (135 citations), Cancer Research (72 citations), Pharmacology (70 citations), Geriatrics and Gerontology (15 citations) and Endocrinology, Diabetes and Metabolism (59 citations). Yuling Tian has collaborated with scholars based in China, Japan and Australia. Frequent co-authors include Zuyi Yuan, Yue Wu, Yan Zhao, Juan Zhou, Weimin Liu, Wei Xu, Lijun Wang, Xiao Liang, Xiaozhen Zhuo and Yan Shen. Their work appears in journals such as Polymer, Clinical & Translational Oncology, International Journal of Cardiology, Translational research and Atherosclerosis.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact